Экономическая и социальная статистика
- Understand basic principles of collecting and using data from various statistical sources
- Familiarize with main statistical indicators used in different fields of social science
- Introduce basic programming tools in STATA programming package
- know commonly used data sources, their advantages and limitations
- be able to run descriptive analysis using Stata statistical package
- know definitions and calculation methods of various statistical indicators in the covered fields of social science
- be able to apply statistical indicators for analysis of socio-economic situation of regions and countries and comparative analysis
- Introduction to economic and social statisticsDefinition of statistics. Goals of statistics. Consumers of statistical information. Role of statistics in social science research. Flows of statistical information (levels of statistics: international, national, regional, micro-level). Key statistical terms. Planning a statistical investigation. Statistical data collection methods: core advantages and disadvantages. Data quality criteria. International statistical standards. Statistics of international organizations. Russian statistical system. Seminar: Introduction to Stata, introduction to statistical data bases
- Household welfareHousehold welfare in country’s national accounts. Measures of household material wellbeing: household assets, asset index, income, consumption expenditure. Comparison of the measures. Subjective measures of household material wellbeing. Household welfare in Russian statistics. Seminar: Calculation of household wealth indicators using Household Budget Survey (Rosstat)
- Poverty and inequalityAbsolute, relative and subjective poverty lines. Poverty measures: Foster- Greer-Thorbecke indices, Watts index. Poverty statistics in Russia. Inequality measures: Gini index, decile dispersion ratio, generalized entropy. Inequality tendencies in Russia. Seminar: Poverty and inequality calculation using Household Budget Survey (Rosstat)
- Economic development&growthGross Domestic Product: concept, methods, problems of application. GDP structure. Monetary alternatives to GDP. Multi-dimensional measures of development. Multi-dimensional measures vs GDP. Seminar: Better Life Index. Correspondence with GDP per capita.
- EducationIndividual and aggregate measures of education (Level of education, Content of education, Learning outcomes and quality of education). International Standard Classification of Education. Assessments of learning outcomes. Life-long learning and on-the-job training. Educational system indicators (Enrollment and completion, Funding, Teachers & learning environment) Seminar: Application of International Standard Classification of Education to Russian educational system. Global Studies of Student Achievement.
- HealthGoals and importance of health observation. Health-related Sustainable Development Goals (SDGs) and statistical indicators. International classifications in health statistics. Public level indicators of health: Health status indicators, Risk factors indicators, Service coverage indicators, Health systems indicators. Individual level indicators of health. Sources of health statistics in international and in Russian practice. Seminar: Correspondence between objective and subjective health characteristics in The Russia Longitudinal Monitoring Survey - Higher School of Economics
- Labour marketInternational standards of labour statistics (ILO, SNA). ILO statistical concept of work and definitions of key labour market indicators. International classifications in labour market statistics (ISCO, ICSE, ISIC) and their analogues in Russia. Sources of labour market statistics in international and in Russian practice. Indicators of employment, working time and earnings used in Russia: key methodological issues (differences between indicators) and tendencies. Labour productivity as an indicator of economy efficiency. Seminar: Calculation of employment rate, unemployment rate and participation rate using Russian Labour Force Survey
- Weekly testsWeekly tests consist of around 8-10 multiple-choice and open questions on lecture content and few questions on results of STATA calculations performed at the seminar. Tests can be completed only during the seminar. Tests are closed-book
- Final testExamination lasts 120 min and consists of around 30-40 multiple-choice and open questions on lectures and seminars content (80% of points) and STATA calculations (20% of points). Exam is closed-book, no materials are allowed at the exam. An exception is a list of main STATA commands distributed by the professor.
- Course projectProject is prepared in a group up to 3 students, the topic is the choice of group and need not (but may be) approved by the instructor. Project outcome is a text and a presentation. By the end of the second week of the course group should appoint the date of presentation according to chosen broad topic. Deadline for the text is 3 days before scheduled presentation day (e.g. if presentation is 05.10, the deadline is 23:59 02.10). Grades are published after all presentations have been delivered. Language: Rus/Eng
- Seminar activity
- Interim assessment (1 module)0.25 * Course project + 0.5 * Final test + 0.1 * Seminar activity + 0.15 * Weekly tests
- Под ред. Башкатова Б.И., Суринова А. Е.-МЕЖДУНАРОДНАЯ СТАТИСТИКА 3-е изд., пер. и доп. Учебник для бакалавриата и магистратуры-М.:Издательство Юрайт,2019-593-Бакалавр и магистр. Академический курс-978-5-534-10635-0: -Текст электронный // ЭБС Юрайт - https://biblio-online.ru/book/mezhdunarodnaya-statistika-442574
- Education Glance, & Oecd Indicators. (2014). Education at a Glance 2014. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.AFB370A9